|
|
Absolute deviation, 绝对离差/ p( s0 w- H4 j( r
Absolute number, 绝对数- h; o" ]0 i1 V- D
Absolute residuals, 绝对残差1 v4 L- n$ U/ H1 v" P
Acceleration array, 加速度立体阵
/ T. H6 R' p6 U' ZAcceleration in an arbitrary direction, 任意方向上的加速度
I/ J# W7 l# A& ]3 h2 F$ IAcceleration normal, 法向加速度& P7 p, D0 v7 J' g! x
Acceleration space dimension, 加速度空间的维数
. k6 V0 r* C* d! eAcceleration tangential, 切向加速度
( i% ^ z# Q, ~' P' UAcceleration vector, 加速度向量
, E7 I$ L+ |+ L- E5 J! q$ l4 i: cAcceptable hypothesis, 可接受假设
n3 K" m3 M. nAccumulation, 累积
( f: g. F* u- I! g: V- ~9 NAccuracy, 准确度3 |! n$ M0 ]; _, g" K1 l; U( k
Actual frequency, 实际频数1 G' t# y7 G% ?9 P7 d
Adaptive estimator, 自适应估计量
+ x d; j& O) V1 R! Q$ t, TAddition, 相加+ A# L# i" a- j2 ?
Addition theorem, 加法定理
+ K! Z" `: g0 \1 MAdditivity, 可加性
$ y) E+ G8 z: I/ _- E2 Y4 X7 tAdjusted rate, 调整率
1 ^& t) f9 g9 _# |' r1 x& xAdjusted value, 校正值
* V* [) b* X. u6 eAdmissible error, 容许误差
7 U0 J( l, U5 YAggregation, 聚集性
% H2 n: w; R6 v* d' }+ O9 ?Alternative hypothesis, 备择假设+ z; s0 F5 x- Y$ r
Among groups, 组间
1 O) L- I4 P XAmounts, 总量: t7 \, r: I7 ?3 O* l
Analysis of correlation, 相关分析
0 P g0 f7 {+ q% _# jAnalysis of covariance, 协方差分析
: f+ D: i' r) G* P; EAnalysis of regression, 回归分析 ]: P q" l& z* {+ N
Analysis of time series, 时间序列分析
& d1 I* b6 X; P, S6 ^Analysis of variance, 方差分析5 b/ u: S- e/ q4 {- g5 v& d* U, N
Angular transformation, 角转换
% f# z: |7 S+ i) U9 O2 ?ANOVA （analysis of variance）, 方差分析
; J4 l: @4 V' C% s; RANOVA Models, 方差分析模型8 J# T& t7 Y9 o; _
Arcing, 弧/弧旋
M, o9 I/ A8 |Arcsine transformation, 反正弦变换
8 `- o" K# l# |7 t* Z/ GArea under the curve, 曲线面积5 [" v# I3 Y ^/ K
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
) M2 h, A: Y8 b# H- ?2 IARIMA, 季节和非季节性单变量模型的极大似然估计
; M* ~9 U! T! T( ~- u4 ?1 ?. eArithmetic grid paper, 算术格纸$ Q- E6 F; p) E
Arithmetic mean, 算术平均数
F7 h% p7 J- s8 \Arrhenius relation, 艾恩尼斯关系
9 g! ^5 @8 ~9 M2 C* AAssessing fit, 拟合的评估# ^' }$ w# Y0 `; R
Associative laws, 结合律
% i) K* m2 N$ O! N9 _Asymmetric distribution, 非对称分布3 D- U% o1 J- T! p( g$ h
Asymptotic bias, 渐近偏倚
! H0 X0 @ o# s( D1 yAsymptotic efficiency, 渐近效率
5 D: j7 X9 Z- u/ d) D2 U8 FAsymptotic variance, 渐近方差
0 m9 W* N( w( h, E$ S0 J+ W( H* mAttributable risk, 归因危险度# \! T6 N7 T) `- p/ A, q
Attribute data, 属性资料& @* l8 ]/ u; g& h6 N6 A6 W# }! E
Attribution, 属性, i0 j% Z4 x9 s/ H
Autocorrelation, 自相关+ Z; s0 B$ c9 q8 y2 ]1 W
Autocorrelation of residuals, 残差的自相关
- l$ V, b. h7 ~' RAverage, 平均数
! W; E, m* M! t- B0 i% m+ a% Z8 cAverage confidence interval length, 平均置信区间长度" V* k2 _+ B V% I# N9 k d6 V
Average growth rate, 平均增长率
* a) `" S4 q0 GBar chart, 条形图0 `2 E: _. o0 Z! k) H
Bar graph, 条形图
3 E( m% K. Y1 ~Base period, 基期0 x$ h: }* t; F4 J( m
Bayes' theorem , Bayes定理
% L1 A4 D2 K5 t/ L5 pBell-shaped curve, 钟形曲线
1 m8 L! Z; D& f/ G# kBernoulli distribution, 伯努力分布$ _5 U* o, Z9 _2 [2 _5 R" S/ |
Best-trim estimator, 最好切尾估计量
1 T! P; T, L: d9 b+ V# \Bias, 偏性5 I' U% S" u% i* Q% a5 r$ T
Binary logistic regression, 二元逻辑斯蒂回归
, Y9 x' w( i- E9 z9 r7 o# n' bBinomial distribution, 二项分布
' M7 \% |0 I8 {7 {! YBisquare, 双平方3 R3 d d4 Q' F) S# a. L
Bivariate Correlate, 二变量相关8 m% u: ?6 D+ ]4 u/ r: E5 K$ `
Bivariate normal distribution, 双变量正态分布
* i% d( F9 O: \, i! G. v/ KBivariate normal population, 双变量正态总体- W: q+ b$ v6 g) Q: ^$ z
Biweight interval, 双权区间
- H/ B: A, L! z8 G* @Biweight M-estimator, 双权M估计量
' m0 P# I, U5 K( E: F( jBlock, 区组/配伍组4 Q; z5 A8 Y. d/ y S
BMDP(Biomedical computer programs), BMDP统计软件包
8 b4 a1 _. d' E( @3 R4 @0 J7 M, U7 _Boxplots, 箱线图/箱尾图
V/ v+ G6 T% ^$ e0 A7 ~$ X5 F" }Breakdown bound, 崩溃界/崩溃点* R1 S3 R( q+ @5 U I: v) a4 R
Canonical correlation, 典型相关
# ]# s; U# G1 q$ U& e! C8 QCaption, 纵标目
0 E, ]: y# f2 z9 P8 Y8 a8 BCase-control study, 病例对照研究0 \2 b. y, L+ b6 c+ B& r% Z. n; o. O
Categorical variable, 分类变量: v1 y; q' c4 w' M i
Catenary, 悬链线
1 P5 j: b! `* w8 `4 e% D: x# mCauchy distribution, 柯西分布
+ C& M& v }4 O5 C( f. ZCause-and-effect relationship, 因果关系- V2 ?5 N; p; z v* m4 j
Cell, 单元5 H8 B5 B2 q3 x! S
Censoring, 终检
$ W% Y: ?/ _ W8 sCenter of symmetry, 对称中心8 U2 m3 t( T# x+ X8 O( V8 F
Centering and scaling, 中心化和定标
/ Y4 E0 C9 y2 DCentral tendency, 集中趋势
2 `; O8 \1 h O' V/ KCentral value, 中心值: }: T4 v1 Z; j' o" o3 H
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
' O( m7 `& F! _8 Y- h- FChance, 机遇
; Z# t% e& T* x, y0 J8 GChance error, 随机误差4 y& ~. P( b" E' q' n# l- j
Chance variable, 随机变量& x! L N8 t1 Z" ]
Characteristic equation, 特征方程8 i) N2 b% k3 w: q3 x0 j3 [
Characteristic root, 特征根
# G5 C6 a q% a5 ~3 R5 P/ CCharacteristic vector, 特征向量
! ^0 W4 w! {! C) G0 n, XChebshev criterion of fit, 拟合的切比雪夫准则
: }$ x0 O X8 hChernoff faces, 切尔诺夫脸谱图' J6 w! G( V7 Q8 |1 r& s7 B
Chi-square test, 卡方检验/χ2检验
1 _8 m0 R h' k5 T! ` zCholeskey decomposition, 乔洛斯基分解
. i2 A8 o0 R. i3 N( T; JCircle chart, 圆图 5 b! Q8 N! b" r
Class interval, 组距
, z7 `% U7 x+ U0 hClass mid-value, 组中值
& y$ }% ~, v4 U, a0 L& wClass upper limit, 组上限
( Y: t3 u' E# V6 P/ ~Classified variable, 分类变量+ j# ~. e: K+ D
Cluster analysis, 聚类分析
& C5 S7 B$ A5 u( O5 f- r, RCluster sampling, 整群抽样
5 a5 U7 q/ `" N, p, B1 K/ Q+ CCode, 代码
. d5 d) m. d4 Z/ {9 P9 A9 t: n7 oCoded data, 编码数据
& u/ @) }& @( E9 j* X! Q( H9 E( ^Coding, 编码
2 C9 ]/ {3 V9 w, L r# [5 l- b5 ~Coefficient of contingency, 列联系数
2 K/ I% A$ e5 g! H s* O/ dCoefficient of determination, 决定系数( F! j) t9 W6 p* T1 o6 }7 H
Coefficient of multiple correlation, 多重相关系数3 T+ f; |, [( m( x
Coefficient of partial correlation, 偏相关系数- Z3 g: J$ @1 W# h% p4 A: ^. T
Coefficient of production-moment correlation, 积差相关系数
3 p! Z# |8 `$ l- _ {Coefficient of rank correlation, 等级相关系数* I9 U, x$ }. E' \4 t
Coefficient of regression, 回归系数. i% |$ f2 Q0 m0 Z; f! ~
Coefficient of skewness, 偏度系数+ V( l5 A4 k6 h- J/ F7 l) }
Coefficient of variation, 变异系数
5 `( M0 ?2 U1 B r- }) ~! \Cohort study, 队列研究
$ D! D9 N- r! B5 y& Y. o+ f0 YColumn, 列6 j/ ^5 K {9 }; B# I
Column effect, 列效应
, x6 @7 g; Q2 U6 E8 x# c: kColumn factor, 列因素+ L) L/ c5 ?8 h# _
Combination pool, 合并
9 Q3 W7 n' Y6 R2 I2 U- |# o. o' D; H ?Combinative table, 组合表/ b# g$ _, W* }
Common factor, 共性因子& c- n2 ^+ K/ S4 j4 k) F
Common regression coefficient, 公共回归系数
4 W0 z: @ E0 u) k$ u7 LCommon value, 共同值, h9 K1 U8 a i# _
Common variance, 公共方差; z1 M C( p7 z9 c* ]" p
Common variation, 公共变异3 D/ V" g r' t0 K2 A
Communality variance, 共性方差* J, P6 ?) \" t) ]) k
Comparability, 可比性6 z. ?2 P; j6 ]2 Z/ `1 n
Comparison of bathes, 批比较
- p! l' u: Q4 L* @" h1 J' k/ EComparison value, 比较值
+ V7 D) u+ t' V& \Compartment model, 分部模型, p3 b2 L0 x" r: y* V" ]# ?$ b
Compassion, 伸缩
$ P! ?* l9 x0 \5 gComplement of an event, 补事件
1 j" u/ y! Z0 bComplete association, 完全正相关
& i4 Z- X- y7 P$ s# dComplete dissociation, 完全不相关% ^ b3 w% C$ T# I
Complete statistics, 完备统计量
, K8 T) b U+ c* J+ FCompletely randomized design, 完全随机化设计
) K8 A9 v" l2 _7 j# | J1 HComposite event, 联合事件
5 m+ `: `7 [5 i A7 WComposite events, 复合事件
6 \; _% l) A! c, ^9 I/ K% rConcavity, 凹性
9 U$ `7 g" ]9 r) ]2 r* v, ~5 lConditional expectation, 条件期望
/ n# S4 G0 u! y/ GConditional likelihood, 条件似然
. [' J' F5 S3 R! c& VConditional probability, 条件概率
V. C3 l5 e5 T- L. q+ E2 uConditionally linear, 依条件线性
" }: V" ]9 b8 T! {Confidence interval, 置信区间
9 @2 r; E3 ~* X# ]9 d, U' V% yConfidence limit, 置信限1 A' x/ S8 q" D3 ^- c: f
Confidence lower limit, 置信下限
2 S4 x' t6 ^: p+ e6 P, e* I" ~& f% rConfidence upper limit, 置信上限' T9 K( z! v7 }! {* s
Confirmatory Factor Analysis , 验证性因子分析' i6 \% J/ g9 `. a: n3 y
Confirmatory research, 证实性实验研究
E* h0 F, r9 v; C6 kConfounding factor, 混杂因素
Q. y3 X3 D# w3 nConjoint, 联合分析/ C, u t2 M/ ~" \# i1 A) C/ _
Consistency, 相合性/ A. J) q6 |- [
Consistency check, 一致性检验6 J9 ]9 a0 `6 `6 B+ G/ @
Consistent asymptotically normal estimate, 相合渐近正态估计: D O y$ ^6 q m
Consistent estimate, 相合估计2 m( W6 a# |* n" g2 n
Constrained nonlinear regression, 受约束非线性回归* W" {+ h( [+ Q: h
Constraint, 约束
6 x8 h$ n- }+ \! s9 o7 ^$ C1 BContaminated distribution, 污染分布1 Y9 J2 b4 Y& Q$ y2 F$ |
Contaminated Gausssian, 污染高斯分布+ n0 K8 ~7 b' V7 N
Contaminated normal distribution, 污染正态分布
9 {9 N' C0 C* h' ZContamination, 污染4 I! F# \1 k3 g" ?5 n0 S3 |
Contamination model, 污染模型: }- @: N p+ I- f/ {- X$ U
Contingency table, 列联表
! n" j( g$ E' o9 N) f* H( @9 sContour, 边界线5 }) q* `$ N8 m$ `9 A2 I8 i
Contribution rate, 贡献率
" Y, m& Y& R) J BControl, 对照
# ]5 O9 \& N# D% ^' DControlled experiments, 对照实验
+ c5 q6 _, z5 Z, F, aConventional depth, 常规深度# Q7 Q; a7 o: L T) K% B% G
Convolution, 卷积: @5 t7 f8 V, o. Z% R9 L; Q
Corrected factor, 校正因子 Y+ |; l! h' M! C
Corrected mean, 校正均值
5 R- n" W) u4 x9 b4 \Correction coefficient, 校正系数
$ E! u2 ^3 F' k8 I/ SCorrectness, 正确性
3 W' G" `$ b5 p6 f& O& {' jCorrelation coefficient, 相关系数) `# b/ L# Z+ D
Correlation index, 相关指数
( p' d5 ], A9 c; aCorrespondence, 对应
1 U8 e' Q( B" F: Y1 }Counting, 计数 x$ f1 X# T8 S4 o, G
Counts, 计数/频数3 A# @1 e8 b% z/ r5 W+ n
Covariance, 协方差
. N) {* H2 A3 G p* WCovariant, 共变
8 C5 O5 F/ b8 c4 LCox Regression, Cox回归3 C& s4 W/ D+ _! s' W, \
Criteria for fitting, 拟合准则6 w- U7 L4 B0 j
Criteria of least squares, 最小二乘准则
& J/ c X8 D( d" ?! H6 ECritical ratio, 临界比 }% T' b5 Z0 {+ X6 z7 O7 ^
Critical region, 拒绝域2 u, ?9 f7 T4 W5 `
Critical value, 临界值; A6 }( c( A$ Z% G% O: n
Cross-over design, 交叉设计6 N0 s$ U; u, S+ B+ o
Cross-section analysis, 横断面分析
; g8 J2 j6 B$ s: \5 f7 `) `Cross-section survey, 横断面调查* p+ j, G& v6 H6 U/ Q* u
Crosstabs , 交叉表
" V _' {; n5 MCross-tabulation table, 复合表
" j0 \2 j3 D8 Z9 VCube root, 立方根, z, A& a" h/ r0 J
Cumulative distribution function, 分布函数
- S5 G" M; C/ o' l, H; {Cumulative probability, 累计概率
" E/ M7 ?1 P& `' S: {7 t) l; mCurvature, 曲率/弯曲
% f5 N" t8 F) [- w3 TCurvature, 曲率/ p3 a7 h& `" ?7 P' `# e Z/ M
Curve fit , 曲线拟和 6 U m0 z) z6 m2 h* S k
Curve fitting, 曲线拟合
. Z& k$ N) t1 m' @& H0 {( I" F0 yCurvilinear regression, 曲线回归
1 @! ~6 H3 L! aCurvilinear relation, 曲线关系6 s- j3 e/ ^8 i- K6 P
Cut-and-try method, 尝试法
3 C9 g D* u5 tCycle, 周期
! d+ b; D, U; m9 lCyclist, 周期性
$ J y; H5 ~ L) S0 Y, I/ sD test, D检验
) z! x# o4 ]$ i, D# A- g bData acquisition, 资料收集! R8 L. y O# `" U9 S
Data bank, 数据库 A0 i2 k. v% S/ v1 ~
Data capacity, 数据容量
# A% _( z* z/ L' n0 X2 DData deficiencies, 数据缺乏; g# i& V& J- @. D) b+ D3 r9 f
Data handling, 数据处理! W" S ]* u3 |3 |) H) M, F
Data manipulation, 数据处理
2 c2 C0 R0 Q; m5 V. t: M- K" yData processing, 数据处理- h- I' r5 H0 c5 J( R2 z
Data reduction, 数据缩减
1 j6 K& q3 q/ {% i! bData set, 数据集: L3 [, l6 G H; F/ f. ^
Data sources, 数据来源
) R1 l* S5 ?9 v1 s6 j7 {. a$ FData transformation, 数据变换9 G, s7 @) H& _: t
Data validity, 数据有效性( j( _4 Z6 L; |+ ~2 h
Data-in, 数据输入
1 ^/ o: R4 K! R6 P, ^, pData-out, 数据输出7 J3 E" Y b/ Y& E: m
Dead time, 停滞期1 U$ J# Q' `, u# d+ b4 l# a
Degree of freedom, 自由度
D, @6 k. `5 y' X5 ^Degree of precision, 精密度2 ` M4 M$ E5 v6 X* k
Degree of reliability, 可靠性程度
# k) L0 @! m- @& E. t4 lDegression, 递减
3 e& j j1 ]% p: XDensity function, 密度函数
+ ^8 ^1 M6 a" ?% g0 K3 q) l, eDensity of data points, 数据点的密度, q. Y0 u. ^% m8 a$ P
Dependent variable, 应变量/依变量/因变量
' R& m" p1 e1 L) O( u EDependent variable, 因变量 a/ k; d7 c3 v1 c5 f$ ~* p
Depth, 深度
' X) I" v/ [. ?. J0 g6 K6 Z0 uDerivative matrix, 导数矩阵
5 V* U) W2 z% c. l, EDerivative-free methods, 无导数方法4 _& b* R6 J/ g7 s5 O
Design, 设计 Q( ~* n5 B+ Y/ z. H0 L) }1 d! \/ u! |
Determinacy, 确定性5 I ^. J3 h; S* ~
Determinant, 行列式' Z8 H, w/ j" i
Determinant, 决定因素2 J4 Y& J* j# K, I% T2 F2 O$ D
Deviation, 离差1 T1 Q! S8 X4 r4 y. B
Deviation from average, 离均差
1 W6 p. i. e6 ^0 ? SDiagnostic plot, 诊断图
) H3 ^7 [: I7 a. |; h, Z+ @Dichotomous variable, 二分变量+ |- \- Q! C# e. b
Differential equation, 微分方程2 W( ?/ F9 v( O% o+ s2 Z& Q' ]3 V
Direct standardization, 直接标准化法
: n, z# O) ~4 Q' ^3 N0 LDiscrete variable, 离散型变量
7 |$ t# C& R, O' p9 RDISCRIMINANT, 判断 u( O( W- J: _/ F( w* r2 x' P
Discriminant analysis, 判别分析. c O4 t% e3 p& C0 k* Y, ?
Discriminant coefficient, 判别系数0 s2 m+ F. R8 D( ^7 H! N1 h; o# K2 g
Discriminant function, 判别值
6 S) c# o$ V+ T$ W! L- z' f2 ?/ C8 cDispersion, 散布/分散度# k ?7 ~9 E' A$ [
Disproportional, 不成比例的
* P- K1 N# h% N- L9 _2 lDisproportionate sub-class numbers, 不成比例次级组含量) Z% n- q% d/ o' F _
Distribution free, 分布无关性/免分布
1 i7 Q1 @ x+ F2 S6 c; u& C, bDistribution shape, 分布形状, F4 l) ?) m# t5 c
Distribution-free method, 任意分布法
3 W* i" Z, z$ v0 a7 u5 cDistributive laws, 分配律
, [2 e& q S7 J7 n! ]Disturbance, 随机扰动项
6 d- E# G4 D, y9 q8 t" ~; T( x4 YDose response curve, 剂量反应曲线
6 j# Z' E2 y( X$ O1 W7 j; P2 K8 u. aDouble blind method, 双盲法
9 }5 i/ B& o2 K3 h3 [; GDouble blind trial, 双盲试验
7 }0 |! Y7 r& `. ?Double exponential distribution, 双指数分布3 {3 V R- l+ v
Double logarithmic, 双对数! z, l6 i/ r. P+ ]& R% R% K$ P
Downward rank, 降秩
# X7 Z9 R# K$ a4 DDual-space plot, 对偶空间图# E G8 V# h4 r( K8 Y* A: z
DUD, 无导数方法
, P. O$ u0 H6 A, r6 D, o. \Duncan's new multiple range method, 新复极差法/Duncan新法; ^! l& \. m5 j
Effect, 实验效应# T: A2 K5 g& I5 l9 O* D! k: W# D
Eigenvalue, 特征值
5 _- e: h+ m. i7 fEigenvector, 特征向量
, p) @8 T/ {1 |. n! |Ellipse, 椭圆
5 A% y% z' D' `Empirical distribution, 经验分布3 M) \* y3 R! x& M% F. x
Empirical probability, 经验概率单位
, H# M$ ~) S$ N2 jEnumeration data, 计数资料5 H. r( F: J: g8 N$ i# |" P+ H
Equal sun-class number, 相等次级组含量! F' B& @* M3 s! V. G; h" [
Equally likely, 等可能$ {) B2 ?5 A/ Z N3 N1 H
Equivariance, 同变性; o M/ }2 v. F6 D
Error, 误差/错误* M( @. W$ {8 p2 Y+ m7 h
Error of estimate, 估计误差
2 u8 d1 F/ f# ~! I2 V- j0 h1 s( S4 XError type I, 第一类错误) U# E/ P, d5 [9 R
Error type II, 第二类错误+ B! H7 @/ n D4 c `: a8 _' D
Estimand, 被估量 x8 d) B/ R+ |/ A" G
Estimated error mean squares, 估计误差均方. K# J! G% `' p
Estimated error sum of squares, 估计误差平方和
% `$ f/ H" E( c: O1 m' HEuclidean distance, 欧式距离
3 F; {# \: `9 g5 P' T( qEvent, 事件4 w7 _; C# x9 p- p
Event, 事件
4 J: k; m" X/ u. p* T' ^+ J$ [# fExceptional data point, 异常数据点" d9 I, H6 n" T' _; n0 e- T$ A
Expectation plane, 期望平面; z0 L$ n; B5 R
Expectation surface, 期望曲面
/ z& A4 H9 r' i& ~& \2 t J* WExpected values, 期望值
+ F: ^8 u7 h( M' YExperiment, 实验
% A$ I8 J. O8 ?Experimental sampling, 试验抽样
+ r0 [8 r0 q6 y" |0 X! @* EExperimental unit, 试验单位( r ^; u! c0 v1 E4 f% ]
Explanatory variable, 说明变量
" h( V! N3 r& ?% j/ @2 eExploratory data analysis, 探索性数据分析/ u9 c) w+ |8 K" b; B
Explore Summarize, 探索-摘要
: |. [7 @, ?, f7 a% i: i$ ~Exponential curve, 指数曲线6 r3 z* t$ I* E* q
Exponential growth, 指数式增长9 R- a7 G6 `! `8 W# L1 N5 l
EXSMOOTH, 指数平滑方法 . K @& V2 H+ b9 I n. q6 O' ^; a
Extended fit, 扩充拟合
; Q! |3 r" R9 L, k3 d$ R0 M. DExtra parameter, 附加参数: [6 F$ B# c N& s a" {
Extrapolation, 外推法7 w* t7 r: P* l+ h: _
Extreme observation, 末端观测值
# Q9 u$ k0 Z* ]3 E2 p1 KExtremes, 极端值/极值+ J- Z4 q7 ]7 \+ P6 f* E2 X
F distribution, F分布
% @3 ^4 f' D4 Y) q" C2 C% cF test, F检验, K* e3 Z/ l) ~4 p7 d5 Y7 v
Factor, 因素/因子0 s; p0 g' U! L/ x' u
Factor analysis, 因子分析, H- n O* X* I
Factor Analysis, 因子分析
1 v' k2 H8 \8 ^0 T6 eFactor score, 因子得分
' s; e7 i+ S( L4 lFactorial, 阶乘
n5 N; V, G. O0 Z& J' ^# \. o/ SFactorial design, 析因试验设计
' R. R- u: N2 X7 OFalse negative, 假阴性
# ?5 l& q r/ T. lFalse negative error, 假阴性错误. {6 k& }3 O: V
Family of distributions, 分布族4 y7 }4 i( g; E8 \: j/ n
Family of estimators, 估计量族
- A& [9 i j3 j' J: {! k! ]0 J! X" pFanning, 扇面
5 q" u/ J* C5 z' q) A# cFatality rate, 病死率
) p! t! ~% P7 X3 f% YField investigation, 现场调查
4 q7 x* ^# p- j- Q- `/ `& CField survey, 现场调查
4 Q V- ]; b8 T+ H' J; j3 XFinite population, 有限总体+ Z. g8 \1 j: j. G' s
Finite-sample, 有限样本
6 b ]8 S( k bFirst derivative, 一阶导数; ]2 `( p' c# ]
First principal component, 第一主成分3 F T$ c7 C1 m6 _+ I# m4 R
First quartile, 第一四分位数( a% r, c9 l& K( S* \. U" l
Fisher information, 费雪信息量' A2 ~8 H& \0 ~3 V
Fitted value, 拟合值7 X. m1 i1 H( F5 B; S
Fitting a curve, 曲线拟合
# ^$ q& f8 t* V( B5 M/ LFixed base, 定基$ n- H2 l6 @7 p2 J; a' _3 [, ]+ J
Fluctuation, 随机起伏
! C5 Y1 A2 \, S: hForecast, 预测; P, B* I3 ?8 Z
Four fold table, 四格表% S& u" d) t$ i: E% R& j
Fourth, 四分点% W! T6 e$ `8 d* a
Fraction blow, 左侧比率. ^. s0 u! [/ L, r3 T
Fractional error, 相对误差
& V$ O' K" c1 a$ D9 W* u- f6 }4 AFrequency, 频率$ k" \4 i8 L3 t4 @
Frequency polygon, 频数多边图$ s7 `; T! e( |" C- Z5 g: @5 O( W
Frontier point, 界限点( k( h5 l( J1 v' ]+ K( v" E: c. J0 @
Function relationship, 泛函关系
, w e# r3 I) KGamma distribution, 伽玛分布
1 f& |4 F2 x( O' j- }4 `5 AGauss increment, 高斯增量
a5 X- l, `; c# i% Z+ {Gaussian distribution, 高斯分布/正态分布
* y! c- ]$ O7 k$ sGauss-Newton increment, 高斯-牛顿增量
6 o; h3 [$ j& s ?7 z9 g+ [6 FGeneral census, 全面普查
E+ P* X' B& B- N& WGENLOG (Generalized liner models), 广义线性模型
( L9 }$ x3 E$ s7 v; r1 f& D7 U3 F5 e( rGeometric mean, 几何平均数- H/ [1 P* m. Y8 a" K" v' V" o+ T5 N
Gini's mean difference, 基尼均差2 T+ M7 ?- u1 f) r: g) W* w- g5 L
GLM (General liner models), 一般线性模型
9 R3 h2 r: m+ U9 q# _Goodness of fit, 拟和优度/配合度: v" u5 T9 u- R: r' C0 r
Gradient of determinant, 行列式的梯度
2 H2 X! c: W$ ] v, `# w: lGraeco-Latin square, 希腊拉丁方. s: K" j# I2 ]$ R9 v K Y
Grand mean, 总均值
( ~6 g/ s: r# uGross errors, 重大错误/ C" r0 L/ m4 Q9 ?
Gross-error sensitivity, 大错敏感度3 L3 k$ T0 m1 V3 ~9 I' v7 ]
Group averages, 分组平均: X; b; M* s& A2 @ b- l7 v
Grouped data, 分组资料
6 }% ^" k- X. x9 c9 A, \( R- YGuessed mean, 假定平均数$ x; P; I& P8 |2 f$ U
Half-life, 半衰期
* E; o0 U& p$ _' hHampel M-estimators, 汉佩尔M估计量
& }' r' G# H. X o- ]Happenstance, 偶然事件
: T1 V$ e: `4 a' p& QHarmonic mean, 调和均数# t& L1 l* R& ]4 ~
Hazard function, 风险均数: B6 B [, r1 P7 U
Hazard rate, 风险率2 r; J( A7 ]& Z( R& A8 |( J- f$ M: F
Heading, 标目 ! I# F' R& e. T7 B% U
Heavy-tailed distribution, 重尾分布
0 Q# G! Z5 j; g B uHessian array, 海森立体阵9 s7 e7 E! Q. Q3 ^; e# {
Heterogeneity, 不同质
' D& K/ W/ T) I' j; s, |% wHeterogeneity of variance, 方差不齐
0 ]0 ?7 K9 [5 S K: P# kHierarchical classification, 组内分组( H. C! ^: a" l* L7 h9 w3 U$ Q9 G
Hierarchical clustering method, 系统聚类法 n$ o0 J# w0 e8 F
High-leverage point, 高杠杆率点) t6 t" x8 ?) h% E
HILOGLINEAR, 多维列联表的层次对数线性模型6 m$ n* u8 ^! X: G5 T9 }
Hinge, 折叶点) Z( O% l0 \9 X, D
Histogram, 直方图4 }. J5 t9 |, [/ F
Historical cohort study, 历史性队列研究
h" x8 a, R: _" L- {3 f- MHoles, 空洞3 m( F- {( S3 u: W" @, L0 v* ]
HOMALS, 多重响应分析. `1 j2 p. w: A
Homogeneity of variance, 方差齐性' |: K4 O8 w8 S% I8 l9 M
Homogeneity test, 齐性检验9 X5 J2 M. I$ u! m5 T) V
Huber M-estimators, 休伯M估计量
% }5 S( ?. y( X/ PHyperbola, 双曲线
1 ]/ f$ f$ t7 m9 y6 C/ Y( `Hypothesis testing, 假设检验9 N# v- W5 f* M
Hypothetical universe, 假设总体4 J$ x, L. x' d D, J H# `5 X
Impossible event, 不可能事件3 X) C) R* A" ^( [4 Z
Independence, 独立性
0 B8 i! O5 j7 d; [. d# f( y+ jIndependent variable, 自变量
: I# j) y" o! u6 b( l* i# h: x6 N, BIndex, 指标/指数
5 ^# l5 S& n/ L( XIndirect standardization, 间接标准化法
0 Z; ?) V: C. m) j4 ^3 Q8 ~0 GIndividual, 个体, u5 O3 j, @- y$ b8 j0 M/ }: Q( A
Inference band, 推断带+ F# `& p) d! j8 K& F) ~
Infinite population, 无限总体4 N! R& ]5 @6 E; b, W* ^
Infinitely great, 无穷大
4 G z R- L2 o8 X4 {Infinitely small, 无穷小+ P( }: b) z8 |8 T
Influence curve, 影响曲线
: `$ L) o+ Z b$ k9 U) }Information capacity, 信息容量
& ~4 d9 m3 [; R5 [- cInitial condition, 初始条件
) T F. V. k7 Y: J! Y0 k7 [Initial estimate, 初始估计值6 I. O1 J& y+ [! P N& f1 d D
Initial level, 最初水平' I- y2 \6 a' o2 y q
Interaction, 交互作用
7 Y6 C- R" S$ qInteraction terms, 交互作用项) s/ I! U( _# q( M9 D4 _5 \" @
Intercept, 截距
: ~( f2 r; M WInterpolation, 内插法
/ o3 O G, f) U6 e/ J# c% YInterquartile range, 四分位距1 e. ]2 n* Y* A3 E6 W% d$ o
Interval estimation, 区间估计( Q, k# G# C9 I& r5 f! {8 r
Intervals of equal probability, 等概率区间: l% [$ }5 U! b
Intrinsic curvature, 固有曲率
9 C- b z$ k8 K2 ?0 M4 w' O8 S: v9 wInvariance, 不变性) Y; G) T" z" K! K
Inverse matrix, 逆矩阵% q- V% c5 {6 Z- @& L" w
Inverse probability, 逆概率/ Q; H" X: ~1 y B8 S
Inverse sine transformation, 反正弦变换1 c0 R' Y8 z5 l- E
Iteration, 迭代 9 B# w) C9 G+ V6 P
Jacobian determinant, 雅可比行列式8 Y& ~1 }( x, p* n: U, i
Joint distribution function, 分布函数+ ?5 r ^1 t) I0 g( N
Joint probability, 联合概率8 R9 Q( N% u) |3 r+ q3 u& ?
Joint probability distribution, 联合概率分布+ M0 z0 ^( }7 v% f) _- T
K means method, 逐步聚类法
0 m2 R! b. u7 y( q+ g5 MKaplan-Meier, 评估事件的时间长度 ' S" A1 {! z* {0 X% r" @
Kaplan-Merier chart, Kaplan-Merier图/ s* @" y7 h$ q
Kendall's rank correlation, Kendall等级相关9 T5 P5 v3 A( G
Kinetic, 动力学: a' \& ^& P! @$ [: A
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
+ P6 B$ i( e/ x6 H# s& G" \& D, [Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验( j/ `6 i( x9 y; u* _
Kurtosis, 峰度
9 u# l R! e; v- Q/ c9 ?Lack of fit, 失拟9 Q4 s; ~, `: v& e% L6 I
Ladder of powers, 幂阶梯
& |9 {% Q5 i% r- X* y" BLag, 滞后
e4 b% E' u. \' b, yLarge sample, 大样本4 I8 C- u6 v e$ x* i* P
Large sample test, 大样本检验0 j* f0 o( _8 h: y8 r( } g
Latin square, 拉丁方# k+ i" b I4 g1 f. {
Latin square design, 拉丁方设计
( a8 z' I& M9 F+ y4 [Leakage, 泄漏4 M6 X! O1 i0 _: ~- E3 U+ V# k6 S
Least favorable configuration, 最不利构形
' K/ |2 h% w& Q; s9 U6 XLeast favorable distribution, 最不利分布
3 X7 f! J+ q, @' b4 T8 s7 rLeast significant difference, 最小显著差法8 M" c) q/ V4 t5 h# ~
Least square method, 最小二乘法. J: f" X% @- \* M" E! g4 t
Least-absolute-residuals estimates, 最小绝对残差估计
3 Q( @0 f' a6 t5 z% R) j& MLeast-absolute-residuals fit, 最小绝对残差拟合7 s8 F8 B- s6 u1 g4 o9 q
Least-absolute-residuals line, 最小绝对残差线
/ }8 `+ N/ I; z: [5 @) cLegend, 图例
3 K8 e$ @$ \) Z* |L-estimator, L估计量
4 u7 I1 [* ^7 G+ W/ E. o/ EL-estimator of location, 位置L估计量' G1 Y8 ^/ H2 ?( t1 Q- \
L-estimator of scale, 尺度L估计量9 I, W4 t: [+ a( @( f& W
Level, 水平
5 t2 [8 N; U: b3 oLife expectance, 预期期望寿命0 g1 P( @6 _9 f" X* O6 l
Life table, 寿命表- d) z# J8 o! U
Life table method, 生命表法
) i) r- W- u. v' ^* ^2 B3 ALight-tailed distribution, 轻尾分布
' W. J* G& C8 ~( D9 nLikelihood function, 似然函数! v$ M+ t6 F" u' X
Likelihood ratio, 似然比8 Q6 {+ R% m/ E9 G$ I7 R
line graph, 线图
3 M+ D) P& c8 s& ^# o2 qLinear correlation, 直线相关. ~7 m+ W! P+ e5 c% |
Linear equation, 线性方程1 V" s' |% U: E x
Linear programming, 线性规划$ k r- G# R m6 w
Linear regression, 直线回归, p; F% L& _1 Q7 z9 J. s' o
Linear Regression, 线性回归
6 m6 L' U! `5 p6 j0 Q2 `) Z/ B$ _Linear trend, 线性趋势
! q: q, \# O( y/ U0 m5 v6 A' S/ bLoading, 载荷
- \! C9 x% ]( Q2 \0 x. iLocation and scale equivariance, 位置尺度同变性' x. C9 Y! u1 ]3 X9 v7 a
Location equivariance, 位置同变性
+ Z% N+ P7 |7 x9 v. G+ Y5 N! mLocation invariance, 位置不变性
6 Y, O9 v3 B) |) m7 w y4 @' aLocation scale family, 位置尺度族! ]1 w0 T3 ?5 c" p5 j7 ?: J
Log rank test, 时序检验
* o6 A; ]4 @5 A0 H3 A. xLogarithmic curve, 对数曲线8 j1 F( f& A- G" G
Logarithmic normal distribution, 对数正态分布8 G+ ^3 @, a$ Z0 j, D
Logarithmic scale, 对数尺度" m: a# d# ?4 G) }. B
Logarithmic transformation, 对数变换
! a3 |, _4 k2 V/ [0 GLogic check, 逻辑检查/ N/ O7 L; g; \- Y& g) j- ]- c3 {
Logistic distribution, 逻辑斯特分布
) C7 K u2 a. E" [Logit transformation, Logit转换
% J; i& [- i% H+ PLOGLINEAR, 多维列联表通用模型
3 f% v: u; X, L' w' h& ZLognormal distribution, 对数正态分布
, F6 l3 N9 K( T/ W0 t# HLost function, 损失函数, T4 O2 }1 c7 G* m Z
Low correlation, 低度相关
3 o! p2 c2 v$ y5 cLower limit, 下限
& z; F- F7 X* w( z/ q% WLowest-attained variance, 最小可达方差8 Y4 ~( D, ]* ~/ y+ v5 X
LSD, 最小显著差法的简称! w* X6 R0 a' D( `
Lurking variable, 潜在变量, B- A8 K" H+ K( L! i
Main effect, 主效应
4 K) H* i6 y2 s o- R% lMajor heading, 主辞标目% m' M6 {% p/ M
Marginal density function, 边缘密度函数
& [/ K" g: B: N' T) D. d) Q& CMarginal probability, 边缘概率( V8 @5 z- u/ m$ C1 z2 w
Marginal probability distribution, 边缘概率分布
! X7 Y% p: z& G* Q, u) [! i0 XMatched data, 配对资料
3 v: l, m. a2 E- ~. IMatched distribution, 匹配过分布# M. _3 [. b; P& [
Matching of distribution, 分布的匹配1 C) k3 Z5 c2 g) Z, g9 L
Matching of transformation, 变换的匹配
+ a' x4 y& f: EMathematical expectation, 数学期望5 u1 f0 w* I6 l( f9 x& }
Mathematical model, 数学模型2 |% }9 `1 a/ G7 U" ?* h* K. V
Maximum L-estimator, 极大极小L 估计量
$ K5 u$ Q9 o% I+ PMaximum likelihood method, 最大似然法
3 H/ U/ P5 P! W2 {. ?1 E5 BMean, 均数5 r' r/ c/ z/ N, Y7 G: p
Mean squares between groups, 组间均方2 D! m! l) v1 Y$ e* v1 J9 d" L
Mean squares within group, 组内均方
# \" N0 g2 T8 O! {. E* xMeans (Compare means), 均值-均值比较& z' z+ C9 v+ ?
Median, 中位数% y" e/ y5 E: N$ V; q
Median effective dose, 半数效量
' s+ h, j, L5 uMedian lethal dose, 半数致死量, b! D1 S; t5 P( x
Median polish, 中位数平滑4 q0 C( p8 F% O* A
Median test, 中位数检验
9 r; W0 m4 k+ rMinimal sufficient statistic, 最小充分统计量
5 p# ~+ N! r& U- W( r+ c& H/ yMinimum distance estimation, 最小距离估计
. h- }! N3 k3 l5 O; ~" lMinimum effective dose, 最小有效量" c" t% z* S! F: c% \5 o
Minimum lethal dose, 最小致死量
5 C! |2 u K& L' A6 w- tMinimum variance estimator, 最小方差估计量
& v- @3 L7 N9 h' Z& rMINITAB, 统计软件包
: C8 {; S: W; N% gMinor heading, 宾词标目
! X- J% Q0 U' Y w4 s: `Missing data, 缺失值: O# K2 g0 L+ f6 d/ i/ T
Model specification, 模型的确定
$ ~# A ]% a1 E. f8 P$ ?Modeling Statistics , 模型统计
" k& ]/ \0 \1 e' U% C* VModels for outliers, 离群值模型
( Z% Q# J- n7 }Modifying the model, 模型的修正3 X! o8 {2 V4 ~8 g+ d' C/ ?0 Y
Modulus of continuity, 连续性模! m# e1 U. C, l, @
Morbidity, 发病率
! ]: _7 b/ K: z2 {: a" h( FMost favorable configuration, 最有利构形; P" j: R+ { |/ b! l
Multidimensional Scaling (ASCAL), 多维尺度/多维标度) M" J- H8 T- c
Multinomial Logistic Regression , 多项逻辑斯蒂回归
; o! ^% `5 t7 \/ hMultiple comparison, 多重比较4 X! W& _" G, D0 S
Multiple correlation , 复相关. E$ q5 P! f: z" ?: p) w( R
Multiple covariance, 多元协方差+ h( G) ? m, Z' y7 `
Multiple linear regression, 多元线性回归+ v1 ~. e5 S( U9 {" H
Multiple response , 多重选项# E( x0 l% [" G7 A* f
Multiple solutions, 多解
- p! K2 Y5 ^+ m3 q, ?8 uMultiplication theorem, 乘法定理
% D5 L/ ?+ V; H& XMultiresponse, 多元响应
: F1 p6 g0 k6 C8 z& K- \2 |* R6 pMulti-stage sampling, 多阶段抽样7 d2 N% M7 D" \: H. i
Multivariate T distribution, 多元T分布
; @6 r3 P7 R3 U) T' UMutual exclusive, 互不相容! K$ Q, ~0 Y% \; n1 t
Mutual independence, 互相独立
9 M7 z# q7 t1 v/ l% ENatural boundary, 自然边界
) d0 N6 K0 }7 `1 m7 W5 p7 mNatural dead, 自然死亡" Q# _0 T- } ^7 [3 L- Z
Natural zero, 自然零7 h. C# c0 `' a" A3 f% Z
Negative correlation, 负相关 M r0 l" o+ v+ X/ V
Negative linear correlation, 负线性相关( g3 ?3 o2 J. ?& u2 j
Negatively skewed, 负偏6 n( n* |, f0 v8 |0 \! u
Newman-Keuls method, q检验
x Y4 P) G2 ~8 j$ qNK method, q检验- q6 r% V1 |0 E; k" X. W
No statistical significance, 无统计意义% w( P( B" h' D2 K5 ~
Nominal variable, 名义变量
* v9 C( J( @6 h* E& MNonconstancy of variability, 变异的非定常性
5 E" a' a& q" A$ J4 LNonlinear regression, 非线性相关
, q M" u# U7 V tNonparametric statistics, 非参数统计
$ L; @. Z3 O7 L+ n4 h b) \Nonparametric test, 非参数检验$ ?# r; f0 R3 I
Nonparametric tests, 非参数检验, ]/ t a! M/ V5 U: x
Normal deviate, 正态离差& L" M3 X! Y; r7 |8 T ]
Normal distribution, 正态分布' c: M( B3 Y$ u0 s+ l
Normal equation, 正规方程组
& a9 R) w! \$ C6 n+ S! F0 \Normal ranges, 正常范围
) ?& c; u0 Y8 h1 wNormal value, 正常值$ l" }' V; W$ W- R
Nuisance parameter, 多余参数/讨厌参数
+ [4 G; O3 o- y4 @" [Null hypothesis, 无效假设
" x, N! X/ L% YNumerical variable, 数值变量
# C2 @( @) D7 ]Objective function, 目标函数
% p( Q6 ^8 [' @6 Q& gObservation unit, 观察单位
- X- R& Y4 @& Q7 Y- ~% f( h! ZObserved value, 观察值+ E8 R9 ?7 E% k S! t9 X
One sided test, 单侧检验! i+ L4 [+ [. E0 c* ^5 j3 f
One-way analysis of variance, 单因素方差分析
4 O+ J' v5 z& g2 j( M& }Oneway ANOVA , 单因素方差分析2 y6 l8 [8 a4 }) g/ t7 z
Open sequential trial, 开放型序贯设计/ l# C7 N' f0 c+ J+ @9 _
Optrim, 优切尾3 m+ F: B# L2 u3 V* x
Optrim efficiency, 优切尾效率" M$ K( g7 a& s& S
Order statistics, 顺序统计量; H& _8 M6 J! `: f+ B
Ordered categories, 有序分类2 i5 G6 A7 S( r2 s9 }+ x" J
Ordinal logistic regression , 序数逻辑斯蒂回归
9 V: W* u/ u( l: x2 TOrdinal variable, 有序变量8 q; U" f0 ]1 X6 l$ H$ v O
Orthogonal basis, 正交基% X3 L% E$ C& {8 ^ P, V+ q" ~) p
Orthogonal design, 正交试验设计
! k9 U }1 c4 ]6 ?, m) |0 lOrthogonality conditions, 正交条件6 T& Y, F7 l4 C# R! q
ORTHOPLAN, 正交设计
) H8 }( s- k3 f9 f9 ]" `/ eOutlier cutoffs, 离群值截断点
/ p+ A: Z3 y) O0 T# y! KOutliers, 极端值3 R! ?: [- M2 g6 a2 a) Z6 a* l
OVERALS , 多组变量的非线性正规相关
' u4 S( b" {( z+ O4 I I# KOvershoot, 迭代过度
4 @" \5 T% n6 a0 r# oPaired design, 配对设计
# V( ~- i- P# ` e$ x( iPaired sample, 配对样本
1 A5 V) s% d- m7 w. rPairwise slopes, 成对斜率
" ?6 M, c* ?6 Z5 Y3 B, CParabola, 抛物线7 k8 }4 ?3 y( @2 F3 Q
Parallel tests, 平行试验
9 h. A& U8 ]& I4 _: G; R' c. R' L& RParameter, 参数7 r: J, D4 [' s$ U$ z6 G
Parametric statistics, 参数统计+ N! I/ G: ^& G0 u1 |. w. ]
Parametric test, 参数检验
; _) N. ?7 r: t* g8 @* l) mPartial correlation, 偏相关- Y7 G! _) b) p+ R, m
Partial regression, 偏回归
: [7 X7 s G. B3 z& ]* ?" gPartial sorting, 偏排序' \) ^) H, |2 c; P
Partials residuals, 偏残差7 W- `# C/ ]+ C2 z& X
Pattern, 模式
/ m8 R/ U( n: d5 r' V7 Y# X7 b: yPearson curves, 皮尔逊曲线/ q: v. f5 i R! y' \ N8 F0 @! L
Peeling, 退层 H" _! L# Z& G' J( G3 a
Percent bar graph, 百分条形图
7 {( F, F5 O: @: CPercentage, 百分比
$ ^+ X f. N) X2 ?0 A/ |Percentile, 百分位数
5 p: E& y# Q/ l/ n5 [ m7 ]$ pPercentile curves, 百分位曲线
% C+ w+ W1 Q5 k9 uPeriodicity, 周期性5 y* u) u2 E/ n/ K2 A$ M ~
Permutation, 排列
6 C) N5 J/ `2 y& ]) b) z' uP-estimator, P估计量6 ?/ L1 B( r2 z3 t. P) H+ T" n; h
Pie graph, 饼图8 X( U! o. \+ r( R
Pitman estimator, 皮特曼估计量9 n7 t% U. o8 i6 J/ v" Z
Pivot, 枢轴量
. S8 K' Y$ D% w7 d! bPlanar, 平坦' B$ y' Y; R5 k7 K: f
Planar assumption, 平面的假设$ ]8 N+ c* Q7 k9 ?7 c
PLANCARDS, 生成试验的计划卡
, F+ N/ w; o4 q" g/ a4 d e! ^Point estimation, 点估计2 M1 F; ~5 Y0 g+ F/ H
Poisson distribution, 泊松分布
! N, `: x- u. }1 p& u. T0 TPolishing, 平滑% t7 x' T" l$ i; J* L( d- Q' j& v! T
Polled standard deviation, 合并标准差& G- n1 K8 h, u
Polled variance, 合并方差
2 m/ f. b" C% k h) K! S9 |+ A. jPolygon, 多边图6 ^' D" @0 K! e, \* q3 i% n
Polynomial, 多项式
# o2 p1 F5 R2 W1 }Polynomial curve, 多项式曲线6 E$ E+ B4 V7 R# F4 `
Population, 总体
2 \& g/ x- M5 m! v. vPopulation attributable risk, 人群归因危险度
) k; S; ~- }8 JPositive correlation, 正相关
8 V# ~) a ]+ Q8 {9 APositively skewed, 正偏0 A+ r0 x* t& O- }( U4 n2 @9 b
Posterior distribution, 后验分布" c" A/ K( k# R
Power of a test, 检验效能) G+ h- ^) r8 o4 W9 |3 i
Precision, 精密度7 {5 K% O/ b8 o
Predicted value, 预测值
: h+ F# c9 G: f! M, G. M5 W0 YPreliminary analysis, 预备性分析# T, u" ]. ^3 A2 n
Principal component analysis, 主成分分析; Q" ]9 G `) W* w2 v1 t
Prior distribution, 先验分布7 x' H2 v, ` k" p& X+ v2 `- |# ^
Prior probability, 先验概率
+ D2 W( a. t7 t2 T# r. q0 N. LProbabilistic model, 概率模型
+ G4 g5 j5 _- r8 G4 d7 K0 N3 Pprobability, 概率
3 F" \( I# I1 ?. NProbability density, 概率密度$ Z, m9 ~% ^. y4 ]6 [" c( {9 J
Product moment, 乘积矩/协方差* k0 }0 j) C2 j1 h
Profile trace, 截面迹图2 M; N2 F+ N+ `5 d2 e1 E0 i
Proportion, 比/构成比2 |4 Q5 |# H% O9 a6 v2 p/ N" `! d' [2 c
Proportion allocation in stratified random sampling, 按比例分层随机抽样
2 R7 x/ F0 a" ^$ GProportionate, 成比例7 s' A9 ?) E6 x: b( J; E u
Proportionate sub-class numbers, 成比例次级组含量% T+ f- f* f7 \" d8 Q: h$ h2 g
Prospective study, 前瞻性调查
) q* r4 R6 Z: K/ u6 K+ \Proximities, 亲近性 + Z) E7 j' H/ D {
Pseudo F test, 近似F检验
0 c4 _5 a% B3 Z4 y7 v2 h& ZPseudo model, 近似模型
' E5 E, ^( ?" J) v ~4 @Pseudosigma, 伪标准差
$ Y) S. E% T" m: M% h% gPurposive sampling, 有目的抽样
5 j/ s6 M) u6 s( oQR decomposition, QR分解
& K: a! N" r& x3 r( l0 V& p0 h" t yQuadratic approximation, 二次近似: s* y" K( g5 C. p; Q
Qualitative classification, 属性分类# {8 @- l, p5 X# s
Qualitative method, 定性方法. v+ Q2 |4 {1 |. K6 O
Quantile-quantile plot, 分位数-分位数图/Q-Q图9 x! A( H: T8 g
Quantitative analysis, 定量分析- ^9 |6 ]: q* V& _, S; ~
Quartile, 四分位数
7 ]# A1 D, i) _& s- R+ J. LQuick Cluster, 快速聚类& P/ J4 J. u( R/ S0 D1 e7 b
Radix sort, 基数排序0 ]$ q5 g( t6 T# @
Random allocation, 随机化分组
8 r* j6 A# b* w, ~2 TRandom blocks design, 随机区组设计 I) ~! E, {# R9 S/ g; q. S
Random event, 随机事件
, I8 `+ e$ X5 B% M1 T% dRandomization, 随机化
4 i w' d+ R" ], _# m- K( BRange, 极差/全距& `0 P8 r/ u, k" }
Rank correlation, 等级相关: @* X5 [" m8 s" x% c; Z8 [
Rank sum test, 秩和检验
) d0 T) H- Z% S* m; _Rank test, 秩检验
4 m; Y1 ^. f. c) q! G* mRanked data, 等级资料4 R2 w1 |1 r. {6 g5 B7 Z
Rate, 比率, W, a' @: K, r. j
Ratio, 比例1 E( B k8 j# W3 e7 H+ U7 v
Raw data, 原始资料: i5 T0 o. p0 i
Raw residual, 原始残差
3 t Q$ Z3 L6 k T o eRayleigh's test, 雷氏检验
6 S/ t) w4 E* h2 d$ t$ {9 {! @Rayleigh's Z, 雷氏Z值
- `5 [: E; ~# _5 r, d R8 MReciprocal, 倒数- [4 s3 X, D7 E# T
Reciprocal transformation, 倒数变换
9 j. i8 N" ]- P- [$ e) b& D0 _* d9 }Recording, 记录3 U9 G: L1 M, k7 P9 b' t7 \
Redescending estimators, 回降估计量
% l/ D2 J0 f( E( ~. _+ U8 qReducing dimensions, 降维
. T* l* Z+ q/ a1 P; Z) h: ?Re-expression, 重新表达
b9 t" @5 m6 }4 q+ yReference set, 标准组
1 M- s: Q8 ] \/ M; W* k/ XRegion of acceptance, 接受域
9 `# q5 H8 E4 ^6 j6 NRegression coefficient, 回归系数
8 W9 o7 J! j4 m! z- RRegression sum of square, 回归平方和
q4 o- W3 `! W( F/ s' D5 jRejection point, 拒绝点
6 Y X/ l6 e: l2 BRelative dispersion, 相对离散度
1 b% t3 K7 C0 h, x/ Q$ CRelative number, 相对数
$ i4 K' Z% X4 F8 h$ g/ I8 |1 SReliability, 可靠性
' A* Y: B& y* n' a% A, {Reparametrization, 重新设置参数
8 h* H; [! |- b) ]4 R. JReplication, 重复
5 ~3 y1 G& v+ ]& X! t2 {% r5 YReport Summaries, 报告摘要
+ F5 i7 e8 h. U4 R& x% JResidual sum of square, 剩余平方和
! [, [$ t4 Y7 R( E6 a! w9 tResistance, 耐抗性
& [0 R* L2 y; z, [; g" ZResistant line, 耐抗线
) Z" G4 x% a* l4 }& H+ q- ?9 O7 T5 |Resistant technique, 耐抗技术
. F" y, j, V2 x) |8 W5 T/ BR-estimator of location, 位置R估计量
( d* m- l- R8 A* a6 t+ z1 IR-estimator of scale, 尺度R估计量8 |0 i* W7 F3 s f; K) {3 G) p
Retrospective study, 回顾性调查' ^1 z0 k+ J' Q0 s1 M/ F
Ridge trace, 岭迹' k. o! v. B3 E
Ridit analysis, Ridit分析
& j2 D8 \& Y- vRotation, 旋转
E4 G# g5 L+ YRounding, 舍入! [$ |; N# U9 @+ H U
Row, 行6 d2 @- U2 L; _" D. B! ~
Row effects, 行效应3 s- J7 f7 [! E7 v) g
Row factor, 行因素3 _0 M8 w/ D- {) R& O4 t
RXC table, RXC表% E3 A8 b3 O8 a# y. x
Sample, 样本
. u8 b; w! l2 x; o5 d8 \2 QSample regression coefficient, 样本回归系数1 ^4 U8 A- h' t' b
Sample size, 样本量% o+ A1 {2 ~. z* F) @/ V" {
Sample standard deviation, 样本标准差
' j' e$ q+ Q) a: J0 PSampling error, 抽样误差. R' G# |+ v3 {7 H
SAS(Statistical analysis system ), SAS统计软件包3 ~) b2 {% w3 g4 ]
Scale, 尺度/量表5 X$ w! p/ V& Y: b3 n* H1 ?
Scatter diagram, 散点图
% w1 j9 A0 f2 V E9 Z) Z$ gSchematic plot, 示意图/简图
6 t2 I& A! ?3 ?Score test, 计分检验) S, l$ A& J5 G, X5 ^
Screening, 筛检9 j( i, f5 T2 X% U
SEASON, 季节分析 ) n4 w3 m+ [! x# X/ t& }
Second derivative, 二阶导数1 {! y7 Q) q) f! X | T" H2 J
Second principal component, 第二主成分
8 ?. `$ R: a9 c2 i1 oSEM (Structural equation modeling), 结构化方程模型 5 D5 s& `+ _2 B) f! U
Semi-logarithmic graph, 半对数图/ e/ X% g T+ A- `. q: n( e& s5 z
Semi-logarithmic paper, 半对数格纸) @5 T. z7 [8 X, l+ n( R' k; y. ?
Sensitivity curve, 敏感度曲线
- L( K! {7 W: |0 W$ E" \- USequential analysis, 贯序分析, l7 f! Q* ^# r7 U+ ~
Sequential data set, 顺序数据集* L3 q/ I8 e3 X# [% q& o: k
Sequential design, 贯序设计9 _% C" f% w. I: I3 u
Sequential method, 贯序法8 B; `- @0 d$ s
Sequential test, 贯序检验法/ ?2 J& J$ ]* O! G
Serial tests, 系列试验
% {- L1 s# s; s- \5 BShort-cut method, 简捷法
* j% ]" J& \2 ?) Y2 Q$ jSigmoid curve, S形曲线
5 f) W& w) Y. z9 A: `+ uSign function, 正负号函数
- O, ^9 Y" ~) a W7 K# A' ySign test, 符号检验6 {0 e2 A6 G5 c# V$ u
Signed rank, 符号秩7 f7 ?5 |2 J, J3 n4 |: o- o
Significance test, 显著性检验# q+ Y+ N2 A. ?) M8 Q: X
Significant figure, 有效数字
# ~9 Q* W$ b _6 Z$ p- l' S/ lSimple cluster sampling, 简单整群抽样/ l& N: y6 o+ I6 ~" |3 y( L
Simple correlation, 简单相关
' b" z, ?& l2 D4 @, ?* mSimple random sampling, 简单随机抽样
/ `. q& e. t* P- i7 K" [Simple regression, 简单回归& [* q6 }1 e$ t/ u
simple table, 简单表5 J( a8 c$ q$ {
Sine estimator, 正弦估计量
" `+ v- x- q: J8 ?$ RSingle-valued estimate, 单值估计
& G, P# J2 W' _" \- GSingular matrix, 奇异矩阵! Q9 U6 H! v, G3 V- ?+ ]
Skewed distribution, 偏斜分布4 r0 P! ?9 N1 T8 `
Skewness, 偏度% o6 h2 |1 v& ]; f6 d. s! ~
Slash distribution, 斜线分布
. v8 r, \, y% x2 `- mSlope, 斜率# z* J. c1 ^( o9 G" Y/ k4 K, d
Smirnov test, 斯米尔诺夫检验
' E4 m/ \9 k. d& O: aSource of variation, 变异来源8 b! [8 h/ k9 p) B
Spearman rank correlation, 斯皮尔曼等级相关; z/ ]+ \- S. k- h _2 a
Specific factor, 特殊因子
0 I u% Y, ]0 j3 }* ?Specific factor variance, 特殊因子方差
6 z3 U! e* { j% m0 e* ISpectra , 频谱
9 f( C' |8 \) r4 j( {1 |Spherical distribution, 球型正态分布
- k: I5 w6 f0 ]5 P# ?# ESpread, 展布
( {: J" }! B: N l+ s0 v3 ?: fSPSS(Statistical package for the social science), SPSS统计软件包+ S. _& Y6 M" f" E0 R0 c6 _
Spurious correlation, 假性相关
3 @9 `& P+ g$ B0 n% g1 M gSquare root transformation, 平方根变换
2 m' `& C* Q. M1 ]" ]Stabilizing variance, 稳定方差6 z& k$ Y" A% p
Standard deviation, 标准差% X; S, U6 T3 f' O z# |8 U
Standard error, 标准误
1 y' W, v9 ]) {: }9 H2 ^* O" dStandard error of difference, 差别的标准误! P0 c: z: W5 M& I
Standard error of estimate, 标准估计误差
, ]9 m. {2 E+ G% xStandard error of rate, 率的标准误
, J: D+ i8 ~2 y" ?, p: sStandard normal distribution, 标准正态分布: x" V; F( ?/ Z1 ?; y8 P
Standardization, 标准化& j4 ]+ P$ O' j/ q. t" V
Starting value, 起始值$ A# F' H4 G5 g5 X- l, x
Statistic, 统计量
8 ^/ R3 }8 P% W; qStatistical control, 统计控制
" K3 t3 j% G4 c/ J GStatistical graph, 统计图
5 k; n) a1 S; g* h3 \3 ^ G6 jStatistical inference, 统计推断
Y8 M3 W$ w/ JStatistical table, 统计表 P+ i$ r( Y! k" i; r: D. f
Steepest descent, 最速下降法! u( [! b5 `7 d5 T" C
Stem and leaf display, 茎叶图8 |4 Q2 ?4 Q A- n0 ?
Step factor, 步长因子- n0 j: _0 w. @) V7 x' A
Stepwise regression, 逐步回归
8 L3 W: o0 y! f2 H' yStorage, 存) V% ]& d6 |" Y- _6 h k
Strata, 层（复数）9 Q2 @. g- B6 v5 }. M4 r' E
Stratified sampling, 分层抽样
, @0 V8 y( Z% S4 D4 F& wStratified sampling, 分层抽样' q2 U( Z1 A; n/ s' x( c O4 b
Strength, 强度1 R- o3 \3 h+ H: [: O
Stringency, 严密性; V/ Y2 O2 x. @" Y3 L& q) ~
Structural relationship, 结构关系
5 t$ d; Z2 `5 J: TStudentized residual, 学生化残差/t化残差
8 I$ L1 G- L. _1 M9 p' ESub-class numbers, 次级组含量
. P% }3 Q( H3 Y; ?$ \0 DSubdividing, 分割4 G0 j6 O. `* }2 V% j
Sufficient statistic, 充分统计量4 `+ l' R" v, u0 T6 k i) G ]
Sum of products, 积和, B+ I0 y' Y, h
Sum of squares, 离差平方和 v4 _: O6 G/ P) |* b2 a" K
Sum of squares about regression, 回归平方和2 d1 u: e3 K/ x9 y! O" m
Sum of squares between groups, 组间平方和
% Z. P5 f' Z- ^3 cSum of squares of partial regression, 偏回归平方和
. r( A/ B& E* f' [$ z, s; gSure event, 必然事件
v" q- `1 h- ]4 p' i+ dSurvey, 调查& k6 ^; \$ o2 k* o
Survival, 生存分析. o t8 z7 L; ]- ]8 @% p; }, Z
Survival rate, 生存率6 G& V% P) F# [+ z+ U* V# Q
Suspended root gram, 悬吊根图
& z) {$ e/ Q, A c/ wSymmetry, 对称9 Z" v J- A6 U3 ^# h
Systematic error, 系统误差
# }1 Z" o- V. m: {/ BSystematic sampling, 系统抽样( { U" u% `8 p5 X* |. P- ?
Tags, 标签
! r2 J, d& o4 b- z. RTail area, 尾部面积5 ?( X5 ?/ }- V( C
Tail length, 尾长: \3 [8 g' o, l/ i* D
Tail weight, 尾重2 X9 H3 H; ]9 G6 F6 s) ~# [- [
Tangent line, 切线$ n" p+ @3 w, w) ^0 ^7 k1 x7 O
Target distribution, 目标分布
: o- ^7 c @8 }3 x: JTaylor series, 泰勒级数$ D0 s1 q2 H8 B7 M! q8 l$ X
Tendency of dispersion, 离散趋势
# p' C# O1 e3 u% `3 MTesting of hypotheses, 假设检验9 k7 {9 i/ U* W# S; K! @
Theoretical frequency, 理论频数) D" B! y& `7 t& S
Time series, 时间序列& _4 v6 ?% Z' z, B* E1 W! @. v
Tolerance interval, 容忍区间
+ h3 `' n: _5 E( O/ T) ?! lTolerance lower limit, 容忍下限
8 N8 h, \( ~/ ^! X' `5 b( JTolerance upper limit, 容忍上限
6 a- v* z4 P$ Y1 `% d& RTorsion, 扰率8 P/ z+ `( b( e6 G% M
Total sum of square, 总平方和' a6 l4 [! f- B0 K6 ~ x
Total variation, 总变异1 \; T9 F- q e( C
Transformation, 转换$ ?; H9 b- i3 G Z/ l
Treatment, 处理1 j/ n' U2 M2 P! L
Trend, 趋势
4 Y; l" s J' \1 K2 p0 b* {Trend of percentage, 百分比趋势8 b& v; K! Q8 N7 c6 D/ t4 a
Trial, 试验
3 _( o3 ]/ U( o- F1 x% H: M6 I3 rTrial and error method, 试错法5 F. h" g; @. {2 i8 \& a6 g0 F+ q
Tuning constant, 细调常数
5 r; b) C$ s! H8 Z5 STwo sided test, 双向检验4 q/ m/ f$ T7 B$ {# z0 u
Two-stage least squares, 二阶最小平方
9 t/ r+ V9 R, ]! wTwo-stage sampling, 二阶段抽样/ t8 v% V( i+ \, Y7 H. t
Two-tailed test, 双侧检验) d3 a1 h0 K% C7 n+ g
Two-way analysis of variance, 双因素方差分析; G2 ]- u' R: g* r3 Y5 E
Two-way table, 双向表
a2 B! s0 z9 @Type I error, 一类错误/α错误0 J: w5 m2 U% o! A
Type II error, 二类错误/β错误
. F+ K! ]7 v+ ?7 P0 g9 tUMVU, 方差一致最小无偏估计简称) V+ w& D9 m, _ V0 d
Unbiased estimate, 无偏估计1 g, k: H& x+ h! n+ H4 w
Unconstrained nonlinear regression , 无约束非线性回归+ N" h4 x5 l& z4 [, z* H
Unequal subclass number, 不等次级组含量
5 k7 d/ t/ U L& K7 v7 C, ~/ DUngrouped data, 不分组资料
& w" @ D: X6 X4 m% z6 {" fUniform coordinate, 均匀坐标
& O' f' I2 U1 d- c4 yUniform distribution, 均匀分布
: H$ W4 f3 f* c/ Z% h0 B0 l" jUniformly minimum variance unbiased estimate, 方差一致最小无偏估计+ m* ` l6 c- R- n* L, D, I
Unit, 单元3 U: d: b3 h2 R. g
Unordered categories, 无序分类
6 j; b- a) ^; H$ fUpper limit, 上限; a7 l/ T4 M/ @$ P: t C b
Upward rank, 升秩( |" H2 \3 T' l3 O$ I
Vague concept, 模糊概念' Q2 [. M" I# ?% |" V" K7 w
Validity, 有效性
+ n, {7 l4 H B6 PVARCOMP (Variance component estimation), 方差元素估计
, ^: y: U4 @1 h' D- YVariability, 变异性' A$ V/ v0 ]* E. a1 F1 A
Variable, 变量
" y% k5 x! w L/ f0 gVariance, 方差
" E# u8 m: B; O+ G& [; y) E! pVariation, 变异
6 g# y9 z- R$ o5 a, Y( H9 bVarimax orthogonal rotation, 方差最大正交旋转
3 [6 ] J/ q! _Volume of distribution, 容积
: S# ?7 _6 k7 t) r& ?4 ]3 ?W test, W检验
+ N* \2 U1 Z) n2 M: f, j6 i5 [Weibull distribution, 威布尔分布: Y# s0 t3 t! q( z8 b
Weight, 权数8 l; ~5 L" X0 M' l. S; F1 s
Weighted Chi-square test, 加权卡方检验/Cochran检验2 Z) X/ u! D' ]. Q$ Y1 n
Weighted linear regression method, 加权直线回归. a, E, S9 ^- T+ G5 G: Z
Weighted mean, 加权平均数
( Z% T1 a" Y$ FWeighted mean square, 加权平均方差
; `5 C* A4 x3 ]! wWeighted sum of square, 加权平方和
+ o& ]3 n+ X, n9 b- {7 C& _Weighting coefficient, 权重系数3 e; y- G h- @) Y$ X7 Y: A$ M( U/ j
Weighting method, 加权法
7 l) l6 ~2 _/ o) l' ]+ yW-estimation, W估计量& a; ~! C+ g8 E% @1 n
W-estimation of location, 位置W估计量: w6 W3 V1 |6 j7 q: w Q: {, u1 O
Width, 宽度/ x) W2 _. s# K* [4 T Z
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
+ b, y1 s8 i. ?0 g. `+ h) ^Wild point, 野点/狂点9 | m. c+ [, s7 @# ~
Wild value, 野值/狂值
/ k, b" v4 }' b8 |3 \Winsorized mean, 缩尾均值
2 H7 P( Z& {+ i5 EWithdraw, 失访 " v3 O) ?$ |4 I+ T+ i
Youden's index, 尤登指数7 @% w) E* ^5 c7 V: F
Z test, Z检验, \; p$ k! H9 |$ |: A
Zero correlation, 零相关# @5 I2 ^- J- d) _5 g& W8 ^; I
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
